COURSE: APPLIED REGRESSION ANALYSIS FOR RESEARCH WITH PYTHON
-- IMPORTANT UPDATE: Due to the close proximity of this course to the UK leaving the EU in March, with unforeseen potential consequences,
this course will not commence as planned but has been postponed to September 2019.
Registrations are open for the September date now.
Venue: Worcester College of the University of Oxford
Course Date: 1.4.- 3.04. 2019 --- COURSE DATE POSTPONED TO SEPTEMBER DUE TO BREXIT
Organised by the ACRN Oxford Centre Ltd.
Open for all disciplines!
In this course you will learn how to use Python with the most salient libraries to gain data driven insights into typical research problems from various disciplines. This course is not a complete beginners’ course, yet it allows you to enter with just some fairly basic statistics knowledge. This course is also not meant to comprehensively cover programming and algorithms, yet we will introduce you to some important concepts and show how these can be applied for novel approaches to your data.
The course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using the freely available, easy-to-learn, yet powerful Python language, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.
What you’ll learn
• How to apply regression/Python to your data
• Easy and hands-on approach to Python as programming language for your tasks
• Create valid regression models
• How to interpret the outcome
• Beautiful visualizations of the data
• How to setup and maintain an easy to work environment on your computer
• Apply your knowledge to real-world problems in afternoon lab sessions
• Tips and tricks and lots of networking…
Find our flyer here!
Please find the link to Application here.
Fee: EU academic rate GBP 660,- | standard fee GBP 920,-
The fee does not including travel, social side, meals & accommodation costs.
Join us for three inspiring days and become a life-long fellow of the ACRN Oxford Research Network!